ISNN 2014 : 11th International Symposium on Neural Networks

Е-мейл Оргкомитета: snn@mae.cuhk.edu.hk

Организаторы: The Chinese University of Hong Kong, Hong Kong

 

The Eleventh International Symposium on Neural Networks (ISNN 2014) will be held in Hong Kong and Macao, the twin city, following the successes of previous events. Known as the Special Administrative Regions of China, Hong Kong and Macao are two modern metropolis situated on the southern coast of China by the Pearl River Delta.

ISNN 2014 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of neural network research and applications in related fields. The symposium will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics.

Prospective authors are invited to contribute high-quality papers to ISNN 2014. In addition, proposals for special sessions within the technical scopes of the symposium are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ISNN 2014. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information and brief biographical information of the organizers.

Topics areas include, but not limited to, computational neuroscience, connectionist theory and cognitive science, mathematical modeling of neural systems, neurodynamic analysis, neurodynamic optimization and adaptive dynamic programming, embedded neural systems, probabilistic and information-theoretic methods, principal and independent component analysis, hybrid intelligent systems, supervised, unsupervised and reinforcement learning, brain imaging and neural information processing, neuroinformatics and bioinformatics, support vector machines and kernel methods, autonomous mental development, data mining, pattern recognition, time series analysis, image and signal processing, robotic and control applications, telecommunications, transportation systems, intrusion detection and fault diagnosis, hardware implementation, real-world applications.

Authors are invited to submit full-length papers (10 pages maximum) by the submission deadline through the online submission system. Potential organizers are also invited to enlist five or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take consideration of the referees' comments and suggestions. Papers presented at ISNN 2014 will be published in the EI-indexed proceedings in the Springer LNCS series and selected good papers will be included in special issues of several SCI journals.

  Papers are solicited for, but not limited to the following tracks:

 

• Computational Neuroscience and Cognitive Science

  Computational Neural Models
  Spiking Neurons
  Visual and Auditory Cortex
  Neural Encoding and Decoding
  Plasticity and Adaptation
  Brain Imaging (fMRI, MEG, EEG)
  Learning and Memory
  Inference and Reasoning
  Knowledge Acquisition and Language
  Perception, Emotion and Development
  Action and Motor Control
  Attractor and Associative Memory
  Neurodynamics, Complex Systems, and Chaos

 

• Models, Methods and Algorithms

  Stability and Convergence Analysis
  Neural Network Models (Feedforward/Recurrent/Self-organizing/Cellular/Hybrid Neural Networks)
  Supervised/Unsupervised/Reinforcement Learning
  Statistical Learning Algorithms (PCA, ICA, Projection Pursuit Methods)
  Kernel Methods, Large Margin Methods and SVM
  Optimization Algorithms / Variational Methods
  Probabilistic and Information-Theoretic Methods
  Mixture Models, Graphical Models, Topic Models and Gaussian Processes
  Ensemble Learning, Committee Algorithms and Boosting
  Bayesian, Belief, Causal and Semantic Networks
  Model Selection and Structure Learning
  Feature Analysis and Clustering
  Sparsity and Feature Selection
  Pattern Analysis and Classification
  Matrix/Tensor Analysis and Factorization
  Temporal Models and Sequence Data
  Structured and Relational Data
  Embeddings and Manifold Learning
  Active Learning

 

• Vision and Auditory Modelling

  Visual Perception and Modelling
  Visual Selective Attention
  Statistical and Pattern Recognition
  Visual Features Analysis
  Object Recognition
  Motion and Tracking
  Natural Scene Statistics
  Image Segmentation
  Image Coding and Representation
  Auditory Perception and Modeling
  Source Separation
  Speech Recognition and Speech Synthesis
  Speaker Identification
  Audio and Speech Retrieval
  Music Modeling and Analysis

 

• Control, Robotics and Hardware

  Neuromorphic Hardware and Implementations
  Embedded Neural Networks
  Reconfigurable Systems
  Fuzzy Neural Networks
  Robotics: Neural Robotics, Cognitive Robotics, Developmental Robotics
  Multi-Agent Systems and Game Theory
  Reinforcement Learning
  Markov Decision Processes
  Planning and Decision Making
  Predictive State Representations
  Policy Search
  Action and Motor Control
  Visuomotor Control

 

• Novel Approaches and Applications

  Brain-Like Systems, Adaptive Intelligent Systems
  Brain-Computer Interfaces
  Granular Computing
  Evolutionary Neural Networks
  Hybrid Intelligent Systems
  Bioinformatics and Biomedical Engineering
  Neuroinformatics and Neuroengineering
  Systems Biology
  Time Series Prediction
  Information Retrieval
  Data Mining and Knowledge Discovery
  Natural Language Processing

Веб-сайт конференции: http://isnn.mae.cuhk.edu.hk/